Philip G. K. Reiser

About

Philip G. K. Reiser is a scholar working on Molecular Biology, Artificial Intelligence and Industrial relations. According to data from OpenAlex, Philip G. K. Reiser has authored 2 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Molecular Biology, 1 paper in Artificial Intelligence and 0 papers in Industrial relations. Recurrent topics in Philip G. K. Reiser’s work include Evolutionary Algorithms and Applications (1 paper), Metaheuristic Optimization Algorithms Research (1 paper) and Gene expression and cancer classification (1 paper). Philip G. K. Reiser is often cited by papers focused on Evolutionary Algorithms and Applications (1 paper), Metaheuristic Optimization Algorithms Research (1 paper) and Gene expression and cancer classification (1 paper). Philip G. K. Reiser collaborates with scholars based in United Kingdom and New Zealand. Philip G. K. Reiser's co-authors include Ross D. King, Kenneth E. Whelan, Douglas B. Kell, Christopher H. Bryant, Stephen Muggleton, Ffion Mair Jones, Stephen G. Oliver and Patricia Riddle and has published in prestigious journals such as Nature and Applied Intelligence.

In The Last Decade

Co-authorship network of co-authors of Philip G. K. Reiser i

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Fields of papers citing papers by Philip G. K. Reiser

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip G. K. Reiser. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Philip G. K. Reiser. The network helps show where Philip G. K. Reiser may publish in the future.

Countries citing papers authored by Philip G. K. Reiser

Since Specialization

Citations

This map shows the geographic impact of Philip G. K. Reiser's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Philip G. K. Reiser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip G. K. Reiser more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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